Recovering the number of clusters in data sets with noise features using feature rescaling factors.
Renato Cordeiro de AmorimChristian HennigPublished in: Inf. Sci. (2015)
Keyphrases
- data sets
- feature set
- feature vectors
- discriminatory power
- image features
- small number
- co occurrence
- clustering algorithm
- significant features
- feature values
- multiple features
- input data
- low level
- feature space
- binary features
- feature dimension
- single feature
- irrelevant features
- additional features
- discriminative features
- feature representation
- classification accuracy